Unmanned aerial vehicle relay deployment method and system based on particle swarm optimization algorithm

Abstract

The invention belongs to the technical field of wireless communication, and discloses an unmanned aerial vehicle relay deployment method and system based on a particle swarm optimization algorithm. The unmanned aerial vehicle relay deployment method comprises the steps of: designing and defining a channel model of an unmanned aerial vehicle relay, calculating the large-scale fading path loss and small-scale fading of the unmanned aerial vehicle relay, and acquiring the channel gain and signal-to-interference-and-noise ratio of different equipment during connection; designing and defining an energy consumption model of an unmanned aerial vehicle relay, and defining power consumption compositions of the unmanned aerial vehicle in a hovering state; constructing an optimization target, and converting a constrained mixed 01 integer nonlinear programming problem into an unconstrained optimization problem; and optimizing the transmitting power of the terminal equipment, the candidate deployment position of the unmanned aerial vehicle relay and the association relationship of the terminal equipment, the unmanned aerial vehicle relay and the channel in combination with the improved particleswarm algorithm so as to realize the minimization of the total energy consumption of the system. According to the unmanned aerial vehicle relay deployment method, a standard particle swarm algorithmis improved, the unmanned aerial vehicle relay deployment method is more suitable for solving the optimization problem, and the execution efficiency of the algorithm is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a UAV relay deployment method and system based on a particle swarm optimization algorithm. Background technique [0002] At present, most IoT (Internet of Things) systems include many terminal devices with limited computing power and communication power, and these IoT systems are mainly suitable for short-distance communication scenarios. Although there are relatively mature communication technologies that support long-distance communication, this technology requires high transmit power for terminal equipment. High transmit power will inevitably lead to high energy consumption and even shorten the working time of terminal equipment. Since many IoT systems currently consist of many low-power, low-computing terminal devices that only support short-distance communication, they cannot establish a stable communication link with remote base stations or aggreg...

AI Technical Summary

Problems solved by technology

[0005] Through the above analysis, the existing problems and defects of the existing technology are: the existing relay selection method based on traditional ground relay nodes for energy-saving deployment of the Internet of Things does not consider the influence of line-of-sight links and non-line-of-sight links on channel gain, Part of the solution details are ignored, which reduces the accuracy of the approximate solution obtained by the genetic algorithm

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